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Multi-sensor fusion all-weather fast unmanned vehicle detection and obstacle avoidance system

A multi-sensor fusion and unmanned vehicle technology, applied in the field of multi-sensor fusion all-weather fast unmanned vehicle detection and obstacle avoidance system, can solve the problems of camera performance degradation, inability to achieve accurate positioning, strong absorption, etc., to improve stability and dynamics performance, avoid excessive aging phenomenon, and enhance the effect of anti-interference ability

Inactive Publication Date: 2018-04-24
张好明
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AI Technical Summary

Problems solved by technology

[0008] (1) Since the unmanned vehicle is disturbed by unstable factors in the surrounding environment, the controller based on the single-chip microcomputer has poor anti-interference ability, and abnormalities often occur, causing the unmanned vehicle to lose control
[0009] (2) The existing unmanned vehicles all use low-level DSP and ARM series chips, and the maximum operating frequency is only about 100 MHz, which cannot meet the fast calculation of complex data of unmanned vehicles
[0010] (3) Affected by the performance of the PC of the unmanned vehicle, the data collected by the sensor of the unmanned vehicle cannot be quickly calculated and stored
[0011] (4) The data acquired by the single-line laser radar is 2D data, and information such as the height of the target cannot be distinguished. Some small objects will be ignored and eventually become obstacles. Single single-line laser radar sensor navigation has become a bottleneck in the automotive field
[0012] (5) A single single-line laser radar cannot obtain road surface information, and it needs to cooperate with other sensors to read and judge ground information
[0013] (6) Although multi-line laser radar can realize 2.5D or 3D data, can judge the height of obstacles, process ground information, etc., but the price is relatively expensive. A 64-beam laser radar can cost as much as 700,000 RMB Large-scale promotion and use
[0014] (7) A single single-line laser radar cannot detect information such as corners and road cliffs. It needs to be used with other sensors to read the surrounding obstacle signals or locate the sensor signs
[0015] (8) The current unmanned vehicles basically only consider forward detection and obstacle avoidance, and do not consider the information of obstacles in the rear. Sometimes obstacles appearing in the rear will damage the body of the unmanned vehicle, but the unmanned vehicle cannot realize Accelerate to dodge
[0016] (9) Based on a single single-line lidar unmanned vehicle, there is a detection blind spot at the moment of start-up. Once an obstacle is in the blind spot, it is easy to cause traffic accidents
[0017] (10) Unmanned vehicles based on a single single-line lidar will also have blind spots in the actual driving process. Once obstacles enter the blind spot during movement, traffic accidents will also occur
[0018] (11) The unmanned vehicle based on the single-line lidar has a slow speed of collecting images of the road ahead, which affects the rapid progress of the unmanned vehicle
[0019] (12) During long-distance driving, unmanned vehicles based on single-line lidar have poor recognition of the surrounding environment and cannot achieve precise positioning
[0020] (13) In the regular traffic, there are various traffic signs on the ground of the driving path of the unmanned vehicle, but the single-line lidar cannot be recognized, and the auxiliary navigation when the unmanned vehicle is moving fast is lost
[0021] (14) In regular traffic, there are signs such as traffic lights in the air on the driving path of unmanned vehicles, but the single-line laser radar cannot recognize them, which weakens the safety of unmanned vehicles when they are moving fast
[0022] (15) Affected by the price and performance of lidar, the detection range of generally cost-effective lidar is less than 100 meters. This distance is not conducive to the judgment of obstacles in the rapid travel of unmanned vehicles
[0025] (1) Whether it is single-line lidar, multi-line lidar or camera is very sensitive to rainy and foggy weather, rain and fog have a strong absorption on lidar and video acquisition, so in rainy and foggy weather, the performance of lidar and video signals will decrease. Greatly decreased, which has a greater impact on the safety of unmanned vehicles
[0026] (2) Whether it is a single-line lidar, a multi-line lidar or a camera is very sensitive to a smoky environment, the smoke absorbs the lidar and video acquisition very strongly, so in smoky weather, the performance of the lidar and video signals will be greatly reduced , have a greater impact on the safety of unmanned vehicles
[0027] (3) Whether it is single-line lidar, multi-line lidar or camera is very sensitive to dusty environments, dust absorbs lidar and video acquisition very strongly, so in dusty weather, the performance of lidar and video signals will be greatly reduced , have a greater impact on the safety of unmanned vehicles
[0028] (4) Whether it is single-line laser radar, multi-line laser radar or camera is very sensitive to strong light weather, strong sunlight can sometimes greatly reduce the performance of laser radar and camera, and sometimes there is even no signal output, which is harmful to no one. significant impact on vehicle safety

Method used

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Embodiment 1

[0087] An embodiment of the present invention, its specific scheme is as follows.

[0088] The unmanned vehicle sensor structure of this embodiment is arranged as follows image 3 , Figure 4 , Figure 5 , Figure 6 shown. Specifically, SICK's laser radar adopts the mature laser-time-of-flight principle and multiple echo technology, non-contact detection, and can set various graphic protection areas according to the needs of the site, and can be used at any time according to the needs of the site. Simply modify the graphics, and the sensor has reliable anti-interference performance through internal filtering and multiple echo technology. LMS151 and LMS122 are SICK's new high-performance laser radars for short-range detection. The LMS151 series is aimed at objects with a reflectivity of 10%, and the distance can reach 50 meters. The LMS122 detection distance can reach up to 20 meters. In view of the above characteristics, this embodiment adopts the laser radar group based on...

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Abstract

The invention belongs to the technical field of unmanned driving and discloses a multi-sensor fusion all-weather fast unmanned vehicle detection and obstacle avoidance system. The system comprises a control system, a vehicle roof lidar, a vehicle-mounted monocular visual camera forward detection microwave radar group, a rear detection microwave radar, a forward lidar group and a rear lidar group.The control system comprises an upper computer and a lower computer. The system has the advantages of a low price, relatively high cost performance and high practicality.

Description

technical field [0001] The invention belongs to the technical field of unmanned driving, and in particular relates to a multi-sensor fusion all-weather rapid unmanned vehicle detection and obstacle avoidance system. Background technique [0002] With the rapid economic development, cars have become an increasingly important part of people's lives. The negligence of drivers will lead to many accidents. About 1 million people die in traffic accidents all over the world every year. In my country, nearly 100,000 people die in traffic accidents every year. Since drivers make many mistakes, automakers must of course concentrate on designing systems that can ensure vehicle safety. Safety is one of the main factors driving the growth of demand for driverless vehicles; It’s so beautiful, letting artificial intelligence unmanned vehicles replace human driving can completely solve problems such as traffic congestion; in addition, poor air conditions are also a “catalyst” for the promo...

Claims

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Application Information

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IPC IPC(8): G01S17/93G01S17/02G01S15/93G01S15/02G01S13/93
CPCG01S13/931G01S15/86G01S15/931G01S17/86G01S17/931G01S2013/93271G01S2013/93272
Inventor 张好明李华京
Owner 张好明
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